代码搜索：Gradient

找到约 2,951 项符合「Gradient」的源代码

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www.eeworm.com/read/138798/13212118

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET
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www.eeworm.com/read/312163/13617482

m contents.m

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern
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www.eeworm.com/read/134901/5891513

m contents.m

% Pre-image problem for RBF kernel. % % rbfpreimg - Schoelkopf's fixed-point algorithm. % rbfpreimg2 - Gradient optimization. % rbfpreimg3 - Kwok-Tsang's algorithm. % % About: Statistical Pattern
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www.eeworm.com/read/491824/6426820

asv nnd12ls.asv

function nnd12ls(cmd,arg1) %NND12LS Conjugate gradient lines search demonstration. % % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and T
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www.eeworm.com/read/491824/6426822

m nnd12ls.m

function nnd12ls(cmd,arg1) %NND12LS Conjugate gradient lines search demonstration. % % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and T
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www.eeworm.com/read/485544/6552708

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET % to
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www.eeworm.com/read/259886/11759438

m nnd12ls.m

function nnd12ls(cmd,arg1) %NND12LS Conjugate gradient lines search demonstration. % % This demonstration requires the Neural Network Toolbox. % Copyright 1994-2002 PWS Publishing Company and T
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www.eeworm.com/read/253950/12173498

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET % to
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www.eeworm.com/read/339665/12211457

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET % to
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www.eeworm.com/read/150905/12250434

m rbfbkp.m

function g = rbfbkp(net, x, z, n2, deltas) %RBFBKP Backpropagate gradient of error function for RBF network. % % Description % G = RBFBKP(NET, X, Z, N2, DELTAS) takes a network data structure NET % to
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